Muhammad Ali Chattha

According to our database, Muhammad Ali Chattha authored at least 7 papers between 2019 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

Knowledge Forcing: Fusing Knowledge-Driven Approaches with LSTM for Time Series Forecasting.

Muhammad Ali Chattha, Muhammad Imran Malik, Andreas Dengel, Sheraz Ahmed

Proceedings of the Artificial Neural Networks and Machine Learning, 2023

2022

KENN: Enhancing Deep Neural Networks by Leveraging Knowledge for Time Series Forecasting.

Muhammad Ali Chattha, Ludger van Elst, Muhammad Imran Malik, Andreas Dengel, Sheraz Ahmed

CoRR, 2022

2020

A Survey on Knowledge integration techniques with Artificial Neural Networks for seq-2-seq/time series models.

Pramod Vadiraja, Muhammad Ali Chattha

CoRR, 2020

2019

FuseAD: Unsupervised Anomaly Detection in Streaming Sensors Data by Fusing Statistical and Deep Learning Models.

Mohsin Munir, Shoaib Ahmed Siddiqui, Muhammad Ali Chattha, Andreas Dengel, Sheraz Ahmed

Sensors, 2019

A Comparative Analysis of Traditional and Deep Learning-Based Anomaly Detection Methods for Streaming Data.

Mohsin Munir, Muhammad Ali Chattha, Andreas Dengel, Sheraz Ahmed

Proceedings of the 18th IEEE International Conference On Machine Learning And Applications, 2019

DeepEX: Bridging the Gap Between Knowledge and Data Driven Techniques for Time Series Forecasting.

Muhammad Ali Chattha, Shoaib Ahmed Siddiqui, Mohsin Munir, Muhammad Imran Malik, Ludger van Elst, Andreas Dengel, Sheraz Ahmed

Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2019: Deep Learning, 2019

KINN: Incorporating Expert Knowledge in Neural Networks.

Muhammad Ali Chattha, Shoaib Ahmed Siddiqui, Muhammad Imran Malik, Ludger van Elst, Andreas Dengel, Sheraz Ahmed

Proceedings of the AAAI 2019 Spring Symposium on Combining Machine Learning with Knowledge Engineering (AAAI-MAKE 2019) Stanford University, 2019